Big data in strategic management in an organization
DOI:
https://doi.org/10.56652/ejmss2023.1-2.8Keywords:
big data, knowledge, information,, information, data, strategyAbstract
This article aims to present the management of big data sets as a strategic issue in an organization. Data strategy is today a key tool for developing the organization and gaining its competitive advantage in a dynamically changing environment. A qualitative methodology has been chosen, including literature research and a description of practical examples that allowed for the examination of the impact of managing large amounts of data on the formulation of a functional data strategy as the main component of the organization's strategy. Based on literature and practical examples authors showed that data, information, and knowledge in a contemporary organization are strategic resources. E昀昀ective use of data in an organization consists of developing a data strategy (as part of the business strategy) and coherently linking it with other functional strategies such as production, marketing, and finance. The instrument supporting these activities is big data technology. The article recommends the approach of developing a functional data strategy based on big data technology, which is consistent with the organizational and other functional strategies. The prerequisite for this process is the recognition of data as a strategic resource and overcoming the barriers associated with the implementation of big data technology.
References
Avison, D.E., & Fitzgerald, G. (1988). Information systems development: Current themes and future directions. Information and Software Technology, 30(8), 458-466. doi.org/10.1016/0950-5849(88)90142-5
Azma, F., & Mostafapour, M. A. (2012). Business intelligence as a key strategy for development organizations. Procedia Technology, 1, 102–106. https://doi.org/10.1016/j.protcy.2012.02.020
Zawiślak, M. (21.01.2019). Badanie: Big Data nad Wisłą. Signs.pl. https://www.signs.pl/big-data-nad-wisla,380871,artykul.html
Beyer, M. (2011). Gartner Says Solving “Big Data” Challenge Involves More Than Just Managing Volumes of Data. Gartner. https://www.gartner.com/newsroom/id/1731916
Big data w Polsce. Praktyczny i krótki przewodnik dla MŚP (February, 2020). Fundacja digitalpoland. https://digitalpoland.org/assets/publications/big-data-w-polsce/raport-big-data-w-polsce.pdf.
Bhatt, G.D. (2002). Management strategies for individual knowledge and organizational knowledge. Journal of Knowledge Management, 6(1), 31–39. https://doi.org/10.1108/13673270210417673
Brdulak, J. (2003). Zarządzanie wiedzą w procesie innowacyjnym. In A. Sosnowska (Ed.), Czynnik ludzki w procesie zarządzania innowacjami (p. 37–64). Szkoła Główna Handlowa.
Burbank, D. (May 1, 2016). The business of data: focus on the data that is important to your business. The data administration newsletter. https://tdan.com/the-business-of-data-focus-on-the-data-that-is-important-to-your-business/19757.
Caputo, F., Cillo, V., Candelo, E., & Liu, Y. (2019). Innovating through digital revolution. Management Decision, 57(8), 2032–2051. https://doi.org/10.1108/md-07-2018-0833
Caputo, F., Evangelista, F., Perko, I., & Ruso, G. (2017). The role of big data in value co-creation for the knowledge economy. In S. Vrontis, T. Weber, E. Tsoukatos (Eds.), Global and national business theories and practice: bridging the past with the future (p. 269-280). EuroMed Pres.
Chen, Chiang & Storey. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165. https://doi.org/10.2307/41703503
Cooley, M. (1987). Architecture or Bee? The human price of technology. The Hogarth Press.
DalleMulle, L., & Davenport, T.H. (2017). What’s your data strategy?. Harvard Business Review, May-June, 112–121. https://hbr.org/2017/05/whats-your-data-strategy.
Davenport, T.H. (2013). Analytics 3.0. Harvard Business Review, December. https://hbr.org/2013/12/analytics-30.
Dereń, A.M., & Skonieczny, J. (2017). Technologie informacyjne i ich wpływ na twórczość organizacyjną. In. L. Kiełtyka, A. Sokołowski (Eds.), Techniki i technologie wspomagające funkcjonowanie przedsiębiorstw. Publishing House of Częstochowa University of Technology.
De Mauro, A., Greco, M., & Grimaldi, M. (2016). A formal definition of Big Data based on its essential features. Library Review, 65(3), 122–135. https://doi.org/10.1108/lr-06-2015-0061
Dennis, A.L. (October 12, 2021). Data Management vs. Data Strategy: A Framework for Business Success. DATAVERSITY. https://www.dataversity.net/data-management-vs-data-strategy-a-framework-for-business-success/.
Dezi, L., Santoro, G., Gabteni, H., & Pellicelli, A. C. (2018). The role of big data in shaping ambidextrous business process management. Business Process Management Journal, 24(5), 1163–1175. https://doi.org/10.1108/bpmj-07-2017-0215
Dontha, R. (2017, 16 stycznia). How to Build a Data Strategy Pt. II – The 4 Step Process. Dataconomy. https://dataconomy.com/2017/01/16/data-strategy-part-ii/
Dudycz, H. (1998), Visualization of data as a tool to support enterprise management. Wroclaw University of Economics Publishing House.
Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: impact on firm performance. Management Decision, 57(8), 1923–1936. https://doi.org/10.1108/md-07-2018-0825
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137–144. https://doi.org/10.1016/j.ijinfomgt.2014.10.007
Hicks, J.O. (1993). Management Information Systems: A User Perspective. West Publishing.
Gravili, G., Manta, F., Cristofaro, C. L., Reina, R., & Toma, P. (2021). Value that matters: intellectual capital and big data to assess performance in healthcare. An empirical analysis on the European context. Journal of Intellectual Capital, 22(2), 260–289. https://doi.org/10.1108/jic-02-2020-0067
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660. https://doi.org/10.1016/j.future.2013.01.010
Hazen, B. T., Boone, C. A., Ezell, J. D., & Jones-Farmer, L. A. (2014). Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications. International Journal of Production Economics, 154, 72–80. https://doi.org/10.1016/j.ijpe.2014.04.018
Khan, Z., & Vorley, T. (2017). Big data text analytics: an enabler of knowledge management. Journal of Knowledge Management, 21(1), 18–34. https://doi.org/10.1108/jkm-06-2015-0238
Kornai, J. (1979). Resource-Constrained versus Demand-Constrained Systems. Econometrica, 47(4), 801. https://doi.org/10.2307/1914132
Laney, D. (2011, July). Infonomics: the economics of information and principles of information asset management. In The Fifth MIT Information Quality Industry Symposium. Cambridge (Vol. 9, No. 2, pp. 590-603). http://mitiq.mit.edu/IQIS/Documents/CDOIQS_201177/Papers/05_01_7A-1_Laney.pdf
Lau, H. Y. K., Luo, H., Zhong, R. Y., Fang, J., & Huang, G. Q. (2015). Special Issue on “Intelligent Enterprise Systems”. Computers & Industrial Engineering, 84, 1–2. https://doi.org/10.1016/j.cie.2015.01.011
Laudon, K.C., & Laudon, J.P. (1991). Business Information Systems: a problem solving approach. Dryden Press.
Li, S., Peng, G. C., & Xing, F. (2019). Barriers of embedding big data solutions in smart factories: insights from SAP consultants. Industrial Management & Data Systems, 119(5), 1147–1164. https://doi.org/10.1108/imds-11-2018-0532
Martin, C., & Powell, P. (1992). Information systems: a management perspective. McGraw-Hill.
Meyer-Schonberger, V., & Cukier, K. (2014). Big data. Rewolucja, która zmieni nasze myślenie. Wyd. MTBiznes.
Mierzejewska, B. (2004). Czym (nie) jest zarządzanie wiedzą?. E-mentor, 1(3), 37-39. https://www.e-mentor.edu.pl/artykul/index/numer/3/id/22
Nonaka, I., & Takeuchi, H. (2000). Kreowanie wiedzy w organizacji: Jak spółki japońskie dynamizują procesy innowacyjne. Warda&Kłosowski Consulting.
Provost, F., & Fawcett, T. (2013). Data Science and its Relationship to Big Data and Data-Driven Decision Making. Big Data, 1(1), 51–59. https://doi.org/10.1089/big.2013.1508
Schaeffer, C., Booton, L., Halleck, J., Studeny, J., & Coustasse, A. (2017). Big Data Management in US Hospitals. The Health Care Manager, 36(1), 87–95. https://doi.org/10.1097/hcm.0000000000000139
Singh, S. K., & Del Giudice, M. (2019). Big data analytics, dynamic capabilities and firm performance. Management Decision, 57(8), 1729–1733. https://doi.org/10.1108/md-08-2019-020
Surma, J. (2017). Cyfryzacja życia w erze big data. PWN.
Russom, P. (2011). Big data analytics. TDWI best practices report. Fourth quarter, 19(4), 1-34.
The 5 Essential Components of Data Strategy. (2018). SAS. https://www.sas.com/content/dam/SAS/en_au/doc/whitepaper1/five-essential-components-data-strategy.pdf (accessed: 6.10.2023).
Wang, B., Abdalla, E., Atrio-Barandela, F., & Pavón, D. (2016). Dark matter and dark energy interactions: theoretical challenges, cosmological implications and observational signatures. Reports on Progress in Physics, 79(9), 096901. https://doi.org/10.1088/0034-4885/79/9/096901
Ward, J.S., & Barker, A. (2013). Undefined By Data: A Survey of Big Data Definitions. ArXiv, abs/1309.5821. https://doi.org/10.48550/arXiv.1309.5821
Jędrzej Wieczorkowski, Magdalena Jurczyk-Bunkowska, Bariery wdrożeń rozwiązań big data. In R. Knosala, Innowacje w zarządzaniu i inżynierii produkcji, tom 1 (p. 243-255). Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją.
Zeleny, M. (1987). Management Support Systems: Towards Integrated Knowledge Management. Human Systems Management, 7(1), 59–70. https://doi.org/10.3233/HSM-1987-7108
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
